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Addresses the 'log of zero' by developing a new family of estimators called iterated Ordinary Least Squares. This family nests standard approaches such as log-linear and Poisson regressions, offers several computational advantages, and corresponds to the correct way to perform the popular log(Y + 1) transformation. For more details about how to use it, see the notebook at: <https://www.davidbenatia.com/>.
| Version: | 0.1.4 |
| Depends: | R (≥ 2.10) |
| Imports: | stats, utils, sandwich, matlib, boot, randomcoloR, stringr |
| Published: | 2023-04-07 |
| Author: | Nassim Zbalah [cre], David Benatia [aut] |
| Maintainer: | Nassim Zbalah <nas66.nz at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | IOLS results |
| Reference manual: | IOLS.pdf |
| Package source: | IOLS_0.1.4.tar.gz |
| Windows binaries: | r-devel: IOLS_0.1.4.zip, r-release: IOLS_0.1.4.zip, r-oldrel: IOLS_0.1.4.zip |
| macOS binaries: | r-release (arm64): IOLS_0.1.4.tgz, r-oldrel (arm64): IOLS_0.1.4.tgz, r-release (x86_64): IOLS_0.1.4.tgz, r-oldrel (x86_64): IOLS_0.1.4.tgz |
| Old sources: | IOLS archive |
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